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On the feasibility of deep learning applications using raw ..:
Cadow, Joris
;
Manica, Matteo
;
Mathis, Roland
...
Bioinformatics. 37 (2021) Supplement_1 - p. i245-i253 , 2021
Link:
https://doi.org/10.1093/bioinformatics/btab311
RT Journal T1
On the feasibility of deep learning applications using raw mass spectrometry data
UL https://suche.suub.uni-bremen.de/peid=cr-10.1093_bioinformatics_btab311&Exemplar=1&LAN=DE A1 Cadow, Joris A1 Manica, Matteo A1 Mathis, Roland A1 Reddel, Roger R A1 Robinson, Phillip J A1 Wild, Peter J A1 Hains, Peter G A1 Lucas, Natasha A1 Zhong, Qing A1 Guo, Tiannan A1 Aebersold, Ruedi A1 Rodríguez Martínez, María PB Oxford University Press (OUP) YR 2021 SN 1367-4803 SN 1367-4811 JF Bioinformatics VO 37 IS Supplement_1 SP i245 OP i253 LK http://dx.doi.org/https://doi.org/10.1093/bioinformatics/btab311 DO https://doi.org/10.1093/bioinformatics/btab311 SF ELIB - SuUB Bremen
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